AI ML Performance Test Engineer

Strong background in machine learning fundamentals, including deep learning,large language models, and recommender systems.

Strong background in validation, defect and software development life cycle

Strong knowledge on ubuntu / yocto linux

Experience working with opensource frameworks such as PyTorch, TensorFlow, and ONNX-Runtime.

Experience in profiling ML workloads

Prior experience in executing validation plans for AI/ML compute stacks such as HIP, CUDA, OpenCL, OpenVINO, ONNX Runtime and TensorFlow/PyTorch integrations.

Prior experience in validating end-to-end AI pipelines, for e.g. model conversion (e.g., PyTorch à ONNX), Inference runtimes (e.g, ONNX Runtime, TensorRT, ROCm/HIP), compilers/toolchains (e.g. TVM, Vitis AI, XDNA, XLA), kernel execution, memory transfer and inference results

Strong background in python programming.

Excellent problem-solving skills and willingness to think outside the box.

Experience with production software quality assurance practices, methodologies,

and procedures

Strong ownership of deliverables, Excellent communication skills and experience working with global teams